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Senior Nonclinical Statistician

Job in Scranton, Lackawanna County, Pennsylvania, 18512, USA
Listing for: Eacademy Sanofi
Full Time position
Listed on 2026-06-06
Job specializations:
  • Research/Development
    Data Scientist, Clinical Research, Research Scientist, Medical Science
  • Healthcare
    Data Scientist, Clinical Research, Medical Science
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Senior Nonclinical Statistician

Location:

Swiftwater, PA

About the Job

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families.

The Biostatistics Manager of the TED (Translational and Early Development) team supports Vaccine R&D under the supervision of the head of Preclinical or Non-Clinical Team and/or the TED Global head who are all part of the Global Biostatistical Sciences (GBS) team. As a core objective, his/her responsibilities include but not limited to provide statistical support in R&D for pre-clinical work, bioassay and biomarker research and/or CMC, biological assay, and biomarker research.

He/She will work in close collaboration with the scientists and/or projects managers and under the supervision of the senior managers of the TED Team.

He/She will assume responsibility for methodological and statistical aspects of pre-clinical and/or non-clinical studies, with general direction from Research Project Leader or technicians. He/she will provide critical input on the design and analysis so that accurate assessments are made for decision-making, while ensuring compliance with regulatory expectations.

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.

Basic Qualifications
  • Master's degree in a relevant field with 4 years of Life Science industry experience OR
  • PhD in a relevant field with 1 year of Life Science industry experience.
  • Technical expertise in statistics, data science and statistical modelling.
  • Proficiency in R programming language.
Soft Skills
  • Good communication skills.
  • Ability to work in a multi‑cultural environment.
  • Ability to work in a team (team spirit, ease of communication).
  • Eager to learn and open‑minded.
  • Good time management.
  • Autonomous.
Statistical Tools
  • JMP or other softwares (e.g. SAS or Phython) is a plus.
Language
  • Effective English in terms of verbal and written communication skills.
Main responsibilities

Acts as the lead statistician and provides support, with minimal supervision from manager or TED Global Head to the preclinical research team or non‑clinical team on statistical requests and on all relevant statistical matters. His/her responsibility includes but not limited to:

  • Develop the digital mindset and data science of the clients under his/her responsibility (communications, training, etc.).
  • Support the digital evolution of the site within its scope of activity.
  • Perform technology watch on data science topics and be the referent for the platform.
  • Provides statistical input in the design of experiments with regards to available information and assumptions of in vivo or in vitro preclinical studies and/or research, clinical and analytical (CMC) bioassay development.
  • Contribute to the setup of the study to make sure data are adequately captured and collected to address the study objectives.
  • Provide statistical support of experimental design, statistical methodology, statistical programming, and data analyses.
  • Provide statistical analyses (planning, prioritization, application forms, analysis reports), write statistical memos/reports, communicate, and explain to scientists the statistical conclusions.
  • Accountable for all statistical operations, including but not limited to:
    Sample size calculation and design of experiment, if applicable, Suitability and compliance of randomization plan, if applicable, Quality, compliance, and delivery of statistical methodology & statistical reports.
  • Accountable for the statistical scientific content:
    Selects statistical methodology to support the objectives of the studies, Drives risk assessment for study conclusions if applicable, Statistical interpretation of results driving study conclusion, Proposes, prepares, and performs exploratory data analyses, ad‑hoc analyses when applicable.
  • Links with other internal and external stakeholders (such as R&D compliance, Functional…
Position Requirements
10+ Years work experience
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